Overview

Dataset statistics

Number of variables23
Number of observations4056
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory728.9 KiB
Average record size in memory184.0 B

Variable types

Numeric23

Alerts

Work is highly overall correlated with AgeHigh correlation
DM is highly overall correlated with DM_Type and 2 other fieldsHigh correlation
DM_Type is highly overall correlated with DM and 2 other fieldsHigh correlation
Age is highly overall correlated with Work and 1 other fieldsHigh correlation
Year_DM_Diagnosed is highly overall correlated with DM_DurationHigh correlation
DM_Duration is highly overall correlated with Year_DM_DiagnosedHigh correlation
Waist is highly overall correlated with BMIHigh correlation
Fasting_Blood_Glucose_Value_SI_Units is highly overall correlated with DM and 2 other fieldsHigh correlation
HbA1C_Admission_Value is highly overall correlated with DM and 2 other fieldsHigh correlation
BMI is highly overall correlated with WaistHigh correlation
Creatinine_Clearance is highly overall correlated with AgeHigh correlation
Gender has 1362 (33.6%) zerosZeros
Education has 969 (23.9%) zerosZeros
Work has 2923 (72.1%) zerosZeros
Cardiac_Arrest_Admission has 3973 (98.0%) zerosZeros
Non_Cardiac_Condition has 3942 (97.2%) zerosZeros
Hypertension has 1432 (35.3%) zerosZeros
Dyslipidemia has 1766 (43.5%) zerosZeros
DM has 1883 (46.4%) zerosZeros
DM_Type has 1867 (46.0%) zerosZeros
DM_Treatment has 103 (2.5%) zerosZeros
Smoking_History has 982 (24.2%) zerosZeros
Lipid_24_Collected has 599 (14.8%) zerosZeros

Reproduction

Analysis started2023-03-31 14:31:20.394076
Analysis finished2023-03-31 14:33:44.639682
Duration2 minutes and 24.25 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66420118
Minimum0
Maximum1
Zeros1362
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:44.702779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47232719
Coefficient of variation (CV)0.71112067
Kurtosis-1.5168488
Mean0.66420118
Median Absolute Deviation (MAD)0
Skewness-0.69562877
Sum2694
Variance0.22309297
MonotonicityNot monotonic
2023-03-31T14:33:44.842991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2694
66.4%
0 1362
33.6%
ValueCountFrequency (%)
0 1362
33.6%
1 2694
66.4%
ValueCountFrequency (%)
1 2694
66.4%
0 1362
33.6%

Education
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9164201
Minimum0
Maximum5
Zeros969
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:44.999363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4234834
Coefficient of variation (CV)0.74278252
Kurtosis-0.57701972
Mean1.9164201
Median Absolute Deviation (MAD)1
Skewness0.31783119
Sum7773
Variance2.0263049
MonotonicityNot monotonic
2023-03-31T14:33:45.141206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1965
48.4%
0 969
23.9%
4 645
 
15.9%
1 248
 
6.1%
5 164
 
4.0%
3 65
 
1.6%
ValueCountFrequency (%)
0 969
23.9%
1 248
 
6.1%
2 1965
48.4%
3 65
 
1.6%
4 645
 
15.9%
5 164
 
4.0%
ValueCountFrequency (%)
5 164
 
4.0%
4 645
 
15.9%
3 65
 
1.6%
2 1965
48.4%
1 248
 
6.1%
0 969
23.9%

Work
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31385602
Minimum0
Maximum2
Zeros2923
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:45.278249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53334237
Coefficient of variation (CV)1.6993218
Kurtosis1.2102412
Mean0.31385602
Median Absolute Deviation (MAD)0
Skewness1.4661896
Sum1273
Variance0.28445408
MonotonicityNot monotonic
2023-03-31T14:33:45.425650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 2923
72.1%
1 993
 
24.5%
2 140
 
3.5%
ValueCountFrequency (%)
0 2923
72.1%
1 993
 
24.5%
2 140
 
3.5%
ValueCountFrequency (%)
2 140
 
3.5%
1 993
 
24.5%
0 2923
72.1%

Cardiac_Arrest_Admission
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022928994
Minimum0
Maximum2
Zeros3973
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:45.612756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16535103
Coefficient of variation (CV)7.2114384
Kurtosis69.458635
Mean0.022928994
Median Absolute Deviation (MAD)0
Skewness7.9312666
Sum93
Variance0.027340963
MonotonicityNot monotonic
2023-03-31T14:33:45.779570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3973
98.0%
1 73
 
1.8%
2 10
 
0.2%
ValueCountFrequency (%)
0 3973
98.0%
1 73
 
1.8%
2 10
 
0.2%
ValueCountFrequency (%)
2 10
 
0.2%
1 73
 
1.8%
0 3973
98.0%

Non_Cardiac_Condition
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028106509
Minimum0
Maximum1
Zeros3942
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:45.959204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16529752
Coefficient of variation (CV)5.8811117
Kurtosis30.647113
Mean0.028106509
Median Absolute Deviation (MAD)0
Skewness5.7124426
Sum114
Variance0.02732327
MonotonicityNot monotonic
2023-03-31T14:33:46.114933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 3942
97.2%
1 114
 
2.8%
ValueCountFrequency (%)
0 3942
97.2%
1 114
 
2.8%
ValueCountFrequency (%)
1 114
 
2.8%
0 3942
97.2%

Hypertension
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6469428
Minimum0
Maximum1
Zeros1432
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:46.258135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47797923
Coefficient of variation (CV)0.73882765
Kurtosis-1.6223864
Mean0.6469428
Median Absolute Deviation (MAD)0
Skewness-0.61515349
Sum2624
Variance0.22846414
MonotonicityNot monotonic
2023-03-31T14:33:46.444195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2624
64.7%
0 1432
35.3%
ValueCountFrequency (%)
0 1432
35.3%
1 2624
64.7%
ValueCountFrequency (%)
1 2624
64.7%
0 1432
35.3%

Dyslipidemia
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56459566
Minimum0
Maximum1
Zeros1766
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:46.638151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49587098
Coefficient of variation (CV)0.87827628
Kurtosis-1.9330084
Mean0.56459566
Median Absolute Deviation (MAD)0
Skewness-0.26066268
Sum2290
Variance0.24588802
MonotonicityNot monotonic
2023-03-31T14:33:46.810756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2290
56.5%
0 1766
43.5%
ValueCountFrequency (%)
0 1766
43.5%
1 2290
56.5%
ValueCountFrequency (%)
1 2290
56.5%
0 1766
43.5%

DM
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.071499
Minimum0
Maximum2
Zeros1883
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:47.035195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99756365
Coefficient of variation (CV)0.9309982
Kurtosis-1.9804081
Mean1.071499
Median Absolute Deviation (MAD)0
Skewness-0.14341799
Sum4346
Variance0.99513324
MonotonicityNot monotonic
2023-03-31T14:33:47.220862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2173
53.6%
0 1883
46.4%
ValueCountFrequency (%)
0 1883
46.4%
2 2173
53.6%
ValueCountFrequency (%)
2 2173
53.6%
0 1883
46.4%

DM_Type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0729783
Minimum0
Maximum2
Zeros1867
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:47.377422image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99423721
Coefficient of variation (CV)0.92661446
Kurtosis-1.9730146
Mean1.0729783
Median Absolute Deviation (MAD)0
Skewness-0.14639868
Sum4352
Variance0.98850763
MonotonicityNot monotonic
2023-03-31T14:33:47.607424image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2163
53.3%
0 1867
46.0%
1 26
 
0.6%
ValueCountFrequency (%)
0 1867
46.0%
1 26
 
0.6%
2 2163
53.3%
ValueCountFrequency (%)
2 2163
53.3%
1 26
 
0.6%
0 1867
46.0%

DM_Treatment
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3454142
Minimum0
Maximum9
Zeros103
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:47.820748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q15
median7
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0141959
Coefficient of variation (CV)0.31742544
Kurtosis1.6499285
Mean6.3454142
Median Absolute Deviation (MAD)1
Skewness-1.4698797
Sum25737
Variance4.0569851
MonotonicityNot monotonic
2023-03-31T14:33:48.072458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 1868
46.1%
8 896
22.1%
5 489
 
12.1%
3 338
 
8.3%
9 164
 
4.0%
0 103
 
2.5%
1 100
 
2.5%
4 63
 
1.6%
6 34
 
0.8%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 103
 
2.5%
1 100
 
2.5%
2 1
 
< 0.1%
3 338
 
8.3%
4 63
 
1.6%
5 489
 
12.1%
6 34
 
0.8%
7 1868
46.1%
8 896
22.1%
9 164
 
4.0%
ValueCountFrequency (%)
9 164
 
4.0%
8 896
22.1%
7 1868
46.1%
6 34
 
0.8%
5 489
 
12.1%
4 63
 
1.6%
3 338
 
8.3%
2 1
 
< 0.1%
1 100
 
2.5%
0 103
 
2.5%

Smoking_History
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.92973373
Minimum0
Maximum4
Zeros982
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:48.299621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67269708
Coefficient of variation (CV)0.72353735
Kurtosis0.70240273
Mean0.92973373
Median Absolute Deviation (MAD)0
Skewness0.51647871
Sum3771
Variance0.45252136
MonotonicityNot monotonic
2023-03-31T14:33:48.476819image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2464
60.7%
0 982
 
24.2%
2 524
 
12.9%
3 85
 
2.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 982
 
24.2%
1 2464
60.7%
2 524
 
12.9%
3 85
 
2.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 85
 
2.1%
2 524
 
12.9%
1 2464
60.7%
0 982
 
24.2%

Lipid_24_Collected
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85281065
Minimum0
Maximum2
Zeros599
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:48.675627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35572748
Coefficient of variation (CV)0.41712363
Kurtosis1.9629583
Mean0.85281065
Median Absolute Deviation (MAD)0
Skewness-1.9594277
Sum3459
Variance0.12654204
MonotonicityNot monotonic
2023-03-31T14:33:48.961973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3455
85.2%
0 599
 
14.8%
2 2
 
< 0.1%
ValueCountFrequency (%)
0 599
 
14.8%
1 3455
85.2%
2 2
 
< 0.1%
ValueCountFrequency (%)
2 2
 
< 0.1%
1 3455
85.2%
0 599
 
14.8%

Age
Real number (ℝ)

Distinct79
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.358974
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:49.307411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile40
Q152
median60
Q369
95-th percentile81
Maximum112
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.726133
Coefficient of variation (CV)0.21084078
Kurtosis-0.11991294
Mean60.358974
Median Absolute Deviation (MAD)9
Skewness0.0030300895
Sum244816
Variance161.95446
MonotonicityNot monotonic
2023-03-31T14:33:49.692558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 148
 
3.6%
72 138
 
3.4%
57 132
 
3.3%
60 132
 
3.3%
67 121
 
3.0%
59 119
 
2.9%
52 117
 
2.9%
56 114
 
2.8%
64 112
 
2.8%
70 111
 
2.7%
Other values (69) 2812
69.3%
ValueCountFrequency (%)
18 1
 
< 0.1%
23 1
 
< 0.1%
24 3
0.1%
25 6
0.1%
26 5
0.1%
27 4
0.1%
28 5
0.1%
29 5
0.1%
30 5
0.1%
31 7
0.2%
ValueCountFrequency (%)
112 1
 
< 0.1%
102 1
 
< 0.1%
99 5
0.1%
97 2
 
< 0.1%
96 1
 
< 0.1%
95 3
0.1%
94 6
0.1%
93 6
0.1%
92 6
0.1%
91 3
0.1%

Year_DM_Diagnosed
Real number (ℝ)

Distinct233
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2000.1757
Minimum1967
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:49.995822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1967
5-th percentile1988
Q11999.8375
median2000.11
Q32002
95-th percentile2010
Maximum2013
Range46
Interquartile range (IQR)2.1625

Descriptive statistics

Standard deviation5.8555758
Coefficient of variation (CV)0.0029275308
Kurtosis3.0160561
Mean2000.1757
Median Absolute Deviation (MAD)1.89
Skewness-1.0222615
Sum8112712.5
Variance34.287768
MonotonicityNot monotonic
2023-03-31T14:33:50.396432image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002 285
 
7.0%
2007 169
 
4.2%
2000 156
 
3.8%
1992 152
 
3.7%
1997 150
 
3.7%
2008 112
 
2.8%
2006 101
 
2.5%
2003 100
 
2.5%
2000.07 89
 
2.2%
2010 87
 
2.1%
Other values (223) 2655
65.5%
ValueCountFrequency (%)
1967 1
 
< 0.1%
1970 1
 
< 0.1%
1972 2
 
< 0.1%
1973 3
 
0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
1977 8
0.2%
1978 1
 
< 0.1%
1979 3
 
0.1%
ValueCountFrequency (%)
2013 1
 
< 0.1%
2012 60
 
1.5%
2011 81
2.0%
2010 87
2.1%
2009 76
1.9%
2008 112
2.8%
2007 169
4.2%
2006 101
2.5%
2005 70
1.7%
2004 67
 
1.7%

DM_Duration
Real number (ℝ)

Distinct203
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.125794
Minimum0
Maximum45
Zeros30
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:50.670373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median12.12
Q312.6025
95-th percentile24
Maximum45
Range45
Interquartile range (IQR)2.6025

Descriptive statistics

Standard deviation5.8149977
Coefficient of variation (CV)0.47955604
Kurtosis3.0383223
Mean12.125794
Median Absolute Deviation (MAD)2.12
Skewness1.0159291
Sum49182.22
Variance33.814198
MonotonicityNot monotonic
2023-03-31T14:33:50.864547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 342
 
8.4%
20 200
 
4.9%
15 174
 
4.3%
5 172
 
4.2%
12 152
 
3.7%
6 103
 
2.5%
7 91
 
2.2%
2 88
 
2.2%
4 88
 
2.2%
1 83
 
2.0%
Other values (193) 2563
63.2%
ValueCountFrequency (%)
0 30
 
0.7%
1 83
2.0%
2 88
2.2%
3 78
1.9%
4 88
2.2%
5 172
4.2%
6 103
2.5%
7 91
2.2%
8 82
2.0%
9 40
 
1.0%
ValueCountFrequency (%)
45 1
 
< 0.1%
42 1
 
< 0.1%
40 5
 
0.1%
38 1
 
< 0.1%
37 2
 
< 0.1%
36 1
 
< 0.1%
35 7
0.2%
34 1
 
< 0.1%
33 9
0.2%
32 16
0.4%

Heart_Rate
Real number (ℝ)

Distinct140
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.194968
Minimum0
Maximum222
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:51.165970image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q171
median82
Q396
95-th percentile120
Maximum222
Range222
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.050795
Coefficient of variation (CV)0.24708965
Kurtosis3.2581605
Mean85.194968
Median Absolute Deviation (MAD)12
Skewness1.02864
Sum345550.79
Variance443.13597
MonotonicityNot monotonic
2023-03-31T14:33:51.409441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 299
 
7.4%
90 203
 
5.0%
70 202
 
5.0%
100 151
 
3.7%
78 136
 
3.4%
88 126
 
3.1%
75 118
 
2.9%
72 105
 
2.6%
85 101
 
2.5%
76 88
 
2.2%
Other values (130) 2527
62.3%
ValueCountFrequency (%)
0 5
0.1%
25 2
 
< 0.1%
27 1
 
< 0.1%
30 3
 
0.1%
34 2
 
< 0.1%
35 3
 
0.1%
36 2
 
< 0.1%
38 5
0.1%
40 11
0.3%
42 4
 
0.1%
ValueCountFrequency (%)
222 1
 
< 0.1%
220 1
 
< 0.1%
200 2
< 0.1%
187 1
 
< 0.1%
180 4
0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%
172 2
< 0.1%
170 3
0.1%
168 3
0.1%

Waist
Real number (ℝ)

Distinct205
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.569287
Minimum25
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:51.636474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile72
Q188
median98
Q3109
95-th percentile124.25
Maximum194
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.315414
Coefficient of variation (CV)0.17746788
Kurtosis2.3706298
Mean97.569287
Median Absolute Deviation (MAD)10
Skewness-0.34779518
Sum395741.03
Variance299.82358
MonotonicityNot monotonic
2023-03-31T14:33:51.881797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 225
 
5.5%
100 171
 
4.2%
85 158
 
3.9%
110 151
 
3.7%
98 145
 
3.6%
105 132
 
3.3%
80 127
 
3.1%
95 123
 
3.0%
88 123
 
3.0%
102 111
 
2.7%
Other values (195) 2590
63.9%
ValueCountFrequency (%)
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
30 2
 
< 0.1%
32 9
0.2%
33 4
0.1%
34 5
0.1%
35 1
 
< 0.1%
36 8
0.2%
37 1
 
< 0.1%
ValueCountFrequency (%)
194 1
 
< 0.1%
191 2
 
< 0.1%
165 1
 
< 0.1%
160 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
150 4
0.1%
148 5
0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
Distinct1714
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4088773
Minimum0.33
Maximum17.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:52.135122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.3
Q15.5
median6.8
Q38.890325
95-th percentile12.8
Maximum17.8
Range17.47
Interquartile range (IQR)3.390325

Descriptive statistics

Standard deviation2.7454059
Coefficient of variation (CV)0.37055626
Kurtosis1.4038414
Mean7.4088773
Median Absolute Deviation (MAD)1.5
Skewness0.92085162
Sum30050.406
Variance7.5372534
MonotonicityNot monotonic
2023-03-31T14:33:52.323390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 79
 
1.9%
5.2 76
 
1.9%
5.6 69
 
1.7%
5 68
 
1.7%
4.8 55
 
1.4%
5.8 53
 
1.3%
6.2 53
 
1.3%
5.4 53
 
1.3%
5.5 52
 
1.3%
5.7 49
 
1.2%
Other values (1704) 3449
85.0%
ValueCountFrequency (%)
0.33 1
< 0.1%
0.38 1
< 0.1%
0.46 1
< 0.1%
0.47 1
< 0.1%
0.58 1
< 0.1%
0.61 1
< 0.1%
0.71 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
1 1
< 0.1%
ValueCountFrequency (%)
17.8 1
 
< 0.1%
17.7 2
 
< 0.1%
17.62 1
 
< 0.1%
17.6 1
 
< 0.1%
17.4 2
 
< 0.1%
17.3 3
 
0.1%
17.2 3
 
0.1%
17.17 1
 
< 0.1%
17.07 1
 
< 0.1%
17 8
0.2%

HbA1C_Admission_Value
Real number (ℝ)

Distinct1872
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4707869
Minimum3.2
Maximum88.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:52.601485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile5.1
Q15.7867
median6.99305
Q38.8
95-th percentile11.3
Maximum88.4
Range85.2
Interquartile range (IQR)3.0133

Descriptive statistics

Standard deviation2.4433074
Coefficient of variation (CV)0.3270482
Kurtosis296.52758
Mean7.4707869
Median Absolute Deviation (MAD)1.37465
Skewness9.5854388
Sum30301.512
Variance5.9697509
MonotonicityNot monotonic
2023-03-31T14:33:52.840940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 144
 
3.6%
5.9 71
 
1.8%
5.7 69
 
1.7%
5.8 65
 
1.6%
5.3 53
 
1.3%
5.6 52
 
1.3%
5.5 52
 
1.3%
7 49
 
1.2%
5 48
 
1.2%
8 48
 
1.2%
Other values (1862) 3405
83.9%
ValueCountFrequency (%)
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
3.9 12
0.3%
4 23
0.6%
4.01 1
 
< 0.1%
4.1 4
 
0.1%
4.16 2
 
< 0.1%
ValueCountFrequency (%)
88.4 1
< 0.1%
20 1
< 0.1%
19.9974 1
< 0.1%
17.5 1
< 0.1%
16.6 1
< 0.1%
16 2
< 0.1%
15.8 1
< 0.1%
15.7 2
< 0.1%
15.4 1
< 0.1%
15.3 1
< 0.1%
Distinct881
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7376785
Minimum0.07
Maximum15.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:53.069516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.9
Q13.892625
median4.6399
Q35.5
95-th percentile6.9
Maximum15.7
Range15.63
Interquartile range (IQR)1.607375

Descriptive statistics

Standard deviation1.3060538
Coefficient of variation (CV)0.27567379
Kurtosis3.4341376
Mean4.7376785
Median Absolute Deviation (MAD)0.8091
Skewness0.80431847
Sum19216.024
Variance1.7057766
MonotonicityNot monotonic
2023-03-31T14:33:53.328660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 82
 
2.0%
4.5 80
 
2.0%
5.2 74
 
1.8%
4.2 73
 
1.8%
4.6 73
 
1.8%
5.6 70
 
1.7%
4.9 67
 
1.7%
4.1 67
 
1.7%
4 66
 
1.6%
4.8 65
 
1.6%
Other values (871) 3339
82.3%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 3
0.1%
0.1 2
< 0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 2
< 0.1%
0.18 1
 
< 0.1%
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
15.7 1
< 0.1%
13.74 1
< 0.1%
12.65 1
< 0.1%
11.8 2
< 0.1%
11.36 1
< 0.1%
11.29 1
< 0.1%
10.97 1
< 0.1%
10.12 1
< 0.1%
10 1
< 0.1%
9.91 1
< 0.1%
Distinct799
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6591525
Minimum0.01
Maximum17.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:53.671760image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.6
Q11
median1.42
Q32
95-th percentile3.5
Maximum17.6
Range17.59
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.112972
Coefficient of variation (CV)0.67080754
Kurtosis34.14111
Mean1.6591525
Median Absolute Deviation (MAD)0.48
Skewness4.0069461
Sum6729.5227
Variance1.2387067
MonotonicityNot monotonic
2023-03-31T14:33:53.849167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
2.7%
1.2 107
 
2.6%
1.1 107
 
2.6%
1.3 102
 
2.5%
0.8 100
 
2.5%
0.9 98
 
2.4%
1.5 97
 
2.4%
1.6 91
 
2.2%
1.4 91
 
2.2%
1.8 80
 
2.0%
Other values (789) 3075
75.8%
ValueCountFrequency (%)
0.01 6
0.1%
0.02 3
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.25 1
 
< 0.1%
ValueCountFrequency (%)
17.6 1
< 0.1%
17.4 1
< 0.1%
14.55 1
< 0.1%
11.56 1
< 0.1%
11.01 1
< 0.1%
10.59 1
< 0.1%
9.72 1
< 0.1%
9.14 1
< 0.1%
9 1
< 0.1%
8.88 1
< 0.1%

BMI
Real number (ℝ)

Distinct1241
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.824292
Minimum13.34
Maximum96.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:54.099180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.34
5-th percentile21.5
Q124.93
median27.76
Q331.55
95-th percentile39.4425
Maximum96.88
Range83.54
Interquartile range (IQR)6.62

Descriptive statistics

Standard deviation5.8882509
Coefficient of variation (CV)0.20428085
Kurtosis7.9142944
Mean28.824292
Median Absolute Deviation (MAD)3.245
Skewness1.678747
Sum116911.33
Variance34.671499
MonotonicityNot monotonic
2023-03-31T14:33:54.355460image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.71 40
 
1.0%
27.68 38
 
0.9%
24.22 36
 
0.9%
29.41 30
 
0.7%
29.76 28
 
0.7%
27.34 27
 
0.7%
31.25 27
 
0.7%
25.95 26
 
0.6%
31.22 25
 
0.6%
28.73 23
 
0.6%
Other values (1231) 3756
92.6%
ValueCountFrequency (%)
13.34 1
< 0.1%
14.84 1
< 0.1%
15.78 1
< 0.1%
16.42 2
< 0.1%
16.44 1
< 0.1%
16.77 1
< 0.1%
16.82 2
< 0.1%
16.9 1
< 0.1%
17.04 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
96.88 1
< 0.1%
69.25 1
< 0.1%
66.33 1
< 0.1%
65.38 1
< 0.1%
65.02 1
< 0.1%
63.57 1
< 0.1%
61.33 1
< 0.1%
57.78 1
< 0.1%
57.19 1
< 0.1%
57.16 1
< 0.1%

Creatinine_Clearance
Real number (ℝ)

Distinct3493
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.345412
Minimum5.21
Maximum1164.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-31T14:33:54.583817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.21
5-th percentile25.7575
Q157.14
median82.66
Q3110.91
95-th percentile167.3125
Maximum1164.7
Range1159.49
Interquartile range (IQR)53.77

Descriptive statistics

Standard deviation52.963914
Coefficient of variation (CV)0.59950951
Kurtosis101.71163
Mean88.345412
Median Absolute Deviation (MAD)26.81
Skewness6.1336378
Sum358328.99
Variance2805.1762
MonotonicityNot monotonic
2023-03-31T14:33:54.812624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.2 6
 
0.1%
86.1 6
 
0.1%
110.7 4
 
0.1%
97.17 4
 
0.1%
76.16 4
 
0.1%
76.26 4
 
0.1%
79.9 4
 
0.1%
67.65 4
 
0.1%
66.05 3
 
0.1%
88.56 3
 
0.1%
Other values (3483) 4014
99.0%
ValueCountFrequency (%)
5.21 1
< 0.1%
5.24 1
< 0.1%
5.57 1
< 0.1%
5.7 1
< 0.1%
5.98 1
< 0.1%
6.18 1
< 0.1%
6.23 1
< 0.1%
6.29 1
< 0.1%
6.33 1
< 0.1%
6.39 1
< 0.1%
ValueCountFrequency (%)
1164.7 1
< 0.1%
1153.62 1
< 0.1%
875.43 1
< 0.1%
684.96 1
< 0.1%
626.18 1
< 0.1%
500.2 1
< 0.1%
460.63 1
< 0.1%
363.73 1
< 0.1%
321.8 1
< 0.1%
298.68 1
< 0.1%

Interactions

2023-03-31T14:33:36.914246image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:21.333434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:26.900347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:33.248235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:39.448292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:45.204003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:50.765601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:56.873854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:05.088255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:11.756773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:18.418226image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:24.646891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:31.543228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:38.079890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:42.728047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:48.799505image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:55.251950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:01.427312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:08.238057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:15.043465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:21.072384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:26.557200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:31.385935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:37.170751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:21.495934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:27.091423image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:33.468218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:39.703758image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:45.436282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:50.990776image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:57.194519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:05.368599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:12.000178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:18.640242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:24.902403image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:31.809924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:38.373661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:42.938683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:49.058353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-31T14:31:32.060934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:38.348526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:43.897309image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:49.868490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:55.650530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:03.870120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:10.537326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:17.091993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:23.608641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:30.348060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:36.930738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:41.860026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:47.838037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:54.222702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:00.473043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:07.115787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:13.847222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:20.084974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:25.645228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:30.282050image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:35.773883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:42.528627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:26.336655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:32.542464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:38.598015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:44.324710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:50.081710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:56.039062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:04.211602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:10.794373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:17.425351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:23.945131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:30.654692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:37.246200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:42.150964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:48.131962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:54.509644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:00.711027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:07.395797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:14.140779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:20.288039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:25.871448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:30.592716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:35.978227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:42.837915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:26.573718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:32.807517image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:38.862613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:44.643335image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:50.271831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:56.380845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:04.592968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:11.159797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:17.758680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:24.206131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:31.028114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:37.574834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:42.335664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:48.384833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:54.771662image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:00.988900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:07.715727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:14.509954image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:20.561032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:26.179626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:30.828417image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:36.296809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:43.014510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:26.728292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:33.037406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:39.194276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:44.860703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:50.465051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:31:56.634703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:04.843534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:11.405544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:18.158242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:24.404592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:31.288792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:37.835788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:42.513260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:48.579288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:32:54.980463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:01.215827image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:07.944467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:14.763853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:20.775455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:26.321376image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:31.122647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-31T14:33:36.616723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-03-31T14:33:55.025719image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
GenderEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMDM_TypeDM_TreatmentSmoking_HistoryLipid_24_CollectedAgeYear_DM_DiagnosedDM_DurationHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsHbA1C_Admission_ValueCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
Gender1.000-0.0070.3790.014-0.009-0.208-0.122-0.164-0.1610.047-0.1460.067-0.1580.029-0.029-0.130-0.037-0.107-0.1320.003-0.003-0.1750.109
Education-0.0071.0000.050-0.0190.007-0.009-0.039-0.005-0.004-0.027-0.0220.004-0.033-0.0070.0120.0070.005-0.025-0.0060.019-0.0190.0310.033
Work0.3790.0501.000-0.005-0.069-0.242-0.120-0.167-0.1720.026-0.1840.056-0.5410.043-0.030-0.0620.021-0.099-0.1020.1260.1380.0520.408
Cardiac_Arrest_Admission0.014-0.019-0.0051.0000.081-0.006-0.031-0.002-0.0040.025-0.034-0.038-0.002-0.0080.0080.054-0.0240.0040.0060.0100.006-0.012-0.039
Non_Cardiac_Condition-0.0090.007-0.0690.0811.0000.0570.0140.0420.042-0.0030.029-0.0340.095-0.0260.0250.114-0.0200.0110.017-0.054-0.022-0.022-0.171
Hypertension-0.208-0.009-0.242-0.0060.0571.0000.3950.3340.329-0.0380.145-0.0080.2580.017-0.0450.0990.0880.1800.222-0.1340.0110.109-0.229
Dyslipidemia-0.122-0.039-0.120-0.0310.0140.3951.0000.3270.323-0.0670.1100.0150.1180.027-0.0380.0220.0840.1720.236-0.0780.0820.098-0.099
DM-0.164-0.005-0.167-0.0020.0420.3340.3271.0000.988-0.0260.102-0.0230.1230.141-0.2030.1150.1130.5490.714-0.1280.1130.139-0.103
DM_Type-0.161-0.004-0.172-0.0040.0420.3290.3230.9881.000-0.0220.103-0.0210.1330.149-0.2130.1090.1110.5480.712-0.1300.1090.137-0.110
DM_Treatment0.047-0.0270.0260.025-0.003-0.038-0.067-0.026-0.0221.000-0.025-0.0130.0010.031-0.043-0.003-0.106-0.029-0.041-0.011-0.003-0.0280.005
Smoking_History-0.146-0.022-0.184-0.0340.0290.1450.1100.1020.103-0.0251.000-0.0050.260-0.002-0.0030.022-0.0300.0450.063-0.084-0.0860.000-0.199
Lipid_24_Collected0.0670.0040.056-0.038-0.034-0.0080.015-0.023-0.021-0.013-0.0051.000-0.0790.058-0.059-0.0420.036-0.008-0.0060.016-0.056-0.0210.059
Age-0.158-0.033-0.541-0.0020.0950.2580.1180.1230.1330.0010.260-0.0791.000-0.0570.0620.041-0.0990.0490.027-0.181-0.230-0.151-0.644
Year_DM_Diagnosed0.029-0.0070.043-0.008-0.0260.0170.0270.1410.1490.031-0.0020.058-0.0571.000-0.897-0.015-0.0340.1150.0740.1070.135-0.0830.037
DM_Duration-0.0290.012-0.0300.0080.025-0.045-0.038-0.203-0.213-0.043-0.003-0.0590.062-0.8971.0000.0210.039-0.125-0.092-0.008-0.0290.061-0.049
Heart_Rate-0.1300.007-0.0620.0540.1140.0990.0220.1150.109-0.0030.022-0.0420.041-0.0150.0211.000-0.0090.1030.1300.017-0.0010.048-0.064
Waist-0.0370.0050.021-0.024-0.0200.0880.0840.1130.111-0.106-0.0300.036-0.099-0.0340.039-0.0091.0000.1280.126-0.0180.1240.5150.259
Fasting_Blood_Glucose_Value_SI_Units-0.107-0.025-0.0990.0040.0110.1800.1720.5490.548-0.0290.045-0.0080.0490.115-0.1250.1030.1281.0000.6540.0070.1570.1360.011
HbA1C_Admission_Value-0.132-0.006-0.1020.0060.0170.2220.2360.7140.712-0.0410.063-0.0060.0270.074-0.0920.1300.1260.6541.0000.0070.2120.1630.001
Cholesterol_Value_SI_Units0.0030.0190.1260.010-0.054-0.134-0.078-0.128-0.130-0.011-0.0840.016-0.1810.107-0.0080.017-0.0180.0070.0071.0000.3920.0280.143
Triglycerides_Value_SI_Units-0.003-0.0190.1380.006-0.0220.0110.0820.1130.109-0.003-0.086-0.056-0.2300.135-0.029-0.0010.1240.1570.2120.3921.0000.1590.159
BMI-0.1750.0310.052-0.012-0.0220.1090.0980.1390.137-0.0280.000-0.021-0.151-0.0830.0610.0480.5150.1360.1630.0280.1591.0000.378
Creatinine_Clearance0.1090.0330.408-0.039-0.171-0.229-0.099-0.103-0.1100.005-0.1990.059-0.6440.037-0.049-0.0640.2590.0110.0010.1430.1590.3781.000

Missing values

2023-03-31T14:33:43.570081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-03-31T14:33:44.414442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

GenderEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMDM_TypeDM_TreatmentSmoking_HistoryLipid_24_CollectedAgeYear_DM_DiagnosedDM_DurationHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsHbA1C_Admission_ValueCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
011100112234252.02003.0010.0090.7994.38.73158.68815.12692.039327.0561108.1492
100000110070173.02000.1612.2175.0060.07.00005.84235.38001.850020.000024.1200
204000112251164.02002.0010.00117.0085.011.93009.25665.40002.240033.290063.6000
300000012291056.01988.0024.0082.0085.04.40007.10004.70001.300031.2200114.2400
400000100071078.02000.1012.1290.0090.06.20005.60004.11001.110019.560027.5500
512000100071154.02000.1012.5075.0091.04.00005.60005.20002.200023.050092.3700
602000000071054.02000.0112.3690.0093.06.08935.64665.02181.019223.810073.4200
702000000071163.02000.1212.30100.0088.05.76905.67336.50002.500028.300095.5300
810000112282162.02000.0012.0050.00107.07.70007.60004.06001.150027.180078.8800
910000012240159.02002.0010.00110.0097.08.72058.00007.74003.910025.240070.2100
GenderEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMDM_TypeDM_TreatmentSmoking_HistoryLipid_24_CollectedAgeYear_DM_DiagnosedDM_DurationHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsHbA1C_Admission_ValueCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
404610000112211174.01987.0025.0088.099.910.80008.30005.14001.10028.4156.50
404714100100070076.02000.2412.36140.070.04.82595.62165.34671.81225.7134.66
404815201112281161.01993.0020.0087.090.04.20007.40005.10002.50029.7650.65
404902000102231056.02004.008.0062.0115.07.20008.10007.44002.32033.12109.82
405010100112282141.02006.007.00106.079.08.81939.63195.90001.90027.9788.77
405112000112251175.02001.0011.0098.092.07.50008.80004.67002.22023.5145.28
405210020012280156.01996.0015.00120.093.07.900011.60006.66001.53029.3983.77
405314000002280155.02006.007.00109.072.09.200011.60003.95000.80022.8489.61
405412000100071177.02000.0812.35100.085.05.43685.36856.71000.65022.0431.00
405512000112290173.01987.0025.00100.0117.09.01448.82594.10001.77029.0167.36